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Eionet
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

2,479 concepts found, displaying 1,121 to 1,140.First5354555657585960Last
Id Label Status Status Modified Notation
318341306 Medyka Quick edit Valid 2013-05-30 318341306
318341307 Orły Quick edit Valid 2013-05-30 318341307
318341308 Przemyśl Quick edit Valid 2013-05-30 318341308
318341309 Stubno Quick edit Valid 2013-05-30 318341309
318341310 Żurawica Quick edit Valid 2013-05-30 318341310
318341401 Przeworsk Quick edit Valid 2013-05-30 318341401
318341402 Adamówka Quick edit Valid 2013-05-30 318341402
318341403 Gać Quick edit Valid 2013-05-30 318341403
318341404 Jawornik Polski Quick edit Valid 2013-05-30 318341404
318341405 Kańczuga Quick edit Valid 2013-05-30 318341405
318341406 Przeworsk Quick edit Valid 2013-05-30 318341406
318341407 Sieniawa Quick edit Valid 2013-05-30 318341407
318341408 Tryńcza Quick edit Valid 2013-05-30 318341408
318341409 Zarzecze Quick edit Valid 2013-05-30 318341409
318346201 Przemyśl Quick edit Valid 2010-01-01 318346201
318350601 Cmolas Quick edit Valid 2013-05-30 318350601
318350602 Kolbuszowa Quick edit Valid 2013-05-30 318350602
318350603 Majdan Królewski Quick edit Valid 2013-05-30 318350603
318350604 Niwiska Quick edit Valid 2013-05-30 318350604
318350605 Raniżów Quick edit Valid 2013-05-30 318350605
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?